Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OwLim/roberta-hate-speech-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OwLim/roberta-hate-speech-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OwLim/roberta-hate-speech-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OwLim/roberta-hate-speech-detection") model = AutoModelForSequenceClassification.from_pretrained("OwLim/roberta-hate-speech-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff81f7de5de4fa46988cf42c68550593cf292f9828b7b55f9c86c6da0f702da7
- Size of remote file:
- 5.3 kB
- SHA256:
- 0a5bf2112d7218267170fc87b3413da25209a5c928111f55d3de6d82ea1b1e7a
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